Triple

T13187334
Position Surface form Disambiguated ID Type / Status
Subject Balkan welaýaty E313890 entity
Predicate containsCity P294 FINISHED
Object Garabogaz
Garabogaz is a small city in western Turkmenistan, located near the Garabogazköl lagoon on the Caspian Sea.
E1028716 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Garabogaz | Statement: [Balkan welaýaty, containsCity, Garabogaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garabogaz
Context triple: [Balkan welaýaty, containsCity, Garabogaz]
  • A. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • B. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • C. Bulaq
    Bulaq were a Turkic tribal group historically associated with the Karluk confederation in Central Asia.
  • D. Cholpon-Ata
    Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
  • E. Kochkor-Ata
    Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Garabogaz
Triple: [Balkan welaýaty, containsCity, Garabogaz]
Generated description
Garabogaz is a small city in western Turkmenistan, located near the Garabogazköl lagoon on the Caspian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Garabogaz
Target entity description: Garabogaz is a small city in western Turkmenistan, located near the Garabogazköl lagoon on the Caspian Sea.
  • A. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • B. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • C. Bulaq
    Bulaq were a Turkic tribal group historically associated with the Karluk confederation in Central Asia.
  • D. Cholpon-Ata
    Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
  • E. Kochkor-Ata
    Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1581388190824a5377b64bd0ef completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f7013a368c8190a768f837f6551f5b completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f7038563848190ae96538e30ecafd5 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 9:15 p.m.